import numpy as np a: np.ndarray generator = (i for i in range(10)) np.require(a, requirements=1) # E: No overload variant np.require(a, requirements="TEST") # E: incompatible type np.zeros("test") # E: incompatible type np.zeros() # E: require at least one argument np.ones("test") # E: incompatible type np.ones() # E: require at least one argument np.array(0, float, True) # E: No overload variant np.linspace(None, 'bob') # E: No overload variant np.linspace(0, 2, num=10.0) # E: No overload variant np.linspace(0, 2, endpoint='True') # E: No overload variant np.linspace(0, 2, retstep=b'False') # E: No overload variant np.linspace(0, 2, dtype=0) # E: No overload variant np.linspace(0, 2, axis=None) # E: No overload variant np.logspace(None, 'bob') # E: No overload variant np.logspace(0, 2, base=None) # E: No overload variant np.geomspace(None, 'bob') # E: No overload variant np.stack(generator) # E: No overload variant np.hstack({1, 2}) # E: No overload variant np.vstack(1) # E: No overload variant np.array([1], like=1) # E: No overload variant